Name: Distance and density based anomaly detection - kNN距離の可視化
Uploaded: 2026-06-16T00:00:00Z
Description: In this chapter, you'll learn how to calculate the k-nearest neighbors distance and the local outlier factor, which are used to construct continuous anomaly scores for each data point when the data have multiple features. You'll learn the difference between local and global anomalies and how the two algorithms can help in each case.